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Pan-cancer molecular subtypes revealed by mass-spectrometry-based proteomic characterization of more than 500 human cancers
by
Creighton, Chad J.
, Chen, Fengju
, Chandrashekar, Darshan S.
, Varambally, Sooryanarayana
in
38/39
/ 38/79
/ 631/114/2401
/ 631/61/475
/ 631/67
/ 82/58
/ Adaptive Immunity
/ Gene Expression Profiling
/ Gene Expression Regulation, Neoplastic
/ Genes, Neoplasm - genetics
/ Humanities and Social Sciences
/ Humans
/ Immune response
/ Immune system
/ Mass Spectrometry - methods
/ Metabolic Networks and Pathways
/ multidisciplinary
/ Neoplasm Proteins - classification
/ Neoplasm Proteins - genetics
/ Neoplasms - classification
/ Neoplasms - genetics
/ Proteomes
/ Proteomics
/ Proteomics - methods
/ Science
/ Science (multidisciplinary)
/ Scientific imaging
/ Spectrometry
/ Spectroscopy
/ Subgroups
/ Transcriptome
/ Tumors
2019
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Pan-cancer molecular subtypes revealed by mass-spectrometry-based proteomic characterization of more than 500 human cancers
by
Creighton, Chad J.
, Chen, Fengju
, Chandrashekar, Darshan S.
, Varambally, Sooryanarayana
in
38/39
/ 38/79
/ 631/114/2401
/ 631/61/475
/ 631/67
/ 82/58
/ Adaptive Immunity
/ Gene Expression Profiling
/ Gene Expression Regulation, Neoplastic
/ Genes, Neoplasm - genetics
/ Humanities and Social Sciences
/ Humans
/ Immune response
/ Immune system
/ Mass Spectrometry - methods
/ Metabolic Networks and Pathways
/ multidisciplinary
/ Neoplasm Proteins - classification
/ Neoplasm Proteins - genetics
/ Neoplasms - classification
/ Neoplasms - genetics
/ Proteomes
/ Proteomics
/ Proteomics - methods
/ Science
/ Science (multidisciplinary)
/ Scientific imaging
/ Spectrometry
/ Spectroscopy
/ Subgroups
/ Transcriptome
/ Tumors
2019
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Pan-cancer molecular subtypes revealed by mass-spectrometry-based proteomic characterization of more than 500 human cancers
by
Creighton, Chad J.
, Chen, Fengju
, Chandrashekar, Darshan S.
, Varambally, Sooryanarayana
in
38/39
/ 38/79
/ 631/114/2401
/ 631/61/475
/ 631/67
/ 82/58
/ Adaptive Immunity
/ Gene Expression Profiling
/ Gene Expression Regulation, Neoplastic
/ Genes, Neoplasm - genetics
/ Humanities and Social Sciences
/ Humans
/ Immune response
/ Immune system
/ Mass Spectrometry - methods
/ Metabolic Networks and Pathways
/ multidisciplinary
/ Neoplasm Proteins - classification
/ Neoplasm Proteins - genetics
/ Neoplasms - classification
/ Neoplasms - genetics
/ Proteomes
/ Proteomics
/ Proteomics - methods
/ Science
/ Science (multidisciplinary)
/ Scientific imaging
/ Spectrometry
/ Spectroscopy
/ Subgroups
/ Transcriptome
/ Tumors
2019
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Pan-cancer molecular subtypes revealed by mass-spectrometry-based proteomic characterization of more than 500 human cancers
Journal Article
Pan-cancer molecular subtypes revealed by mass-spectrometry-based proteomic characterization of more than 500 human cancers
2019
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Overview
Mass-spectrometry-based proteomic profiling of human cancers has the potential for pan-cancer analyses to identify molecular subtypes and associated pathway features that might be otherwise missed using transcriptomics. Here, we classify 532 cancers, representing six tissue-based types (breast, colon, ovarian, renal, uterine), into ten proteome-based, pan-cancer subtypes that cut across tumor lineages. The proteome-based subtypes are observable in external cancer proteomic datasets surveyed. Gene signatures of oncogenic or metabolic pathways can further distinguish between the subtypes. Two distinct subtypes both involve the immune system, one associated with the adaptive immune response and T-cell activation, and the other associated with the humoral immune response. Two additional subtypes each involve the tumor stroma, one of these including the collagen VI interacting network. Three additional proteome-based subtypes—respectively involving proteins related to Golgi apparatus, hemoglobin complex, and endoplasmic reticulum—were not reflected in previous transcriptomics analyses. A data portal is available at UALCAN website.
Mass-spectrometry-based profiling can be used to stratify tumours into molecular subtypes. Here, by classifying over 500 tumours, the authors show that this approach reveals proteomic subgroups which cut across tumour types.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
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